package com.atguigu.fink.chapter01.window;

import com.atguigu.fink.bean.WaterSensor;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

import java.time.Duration;

import static org.apache.flink.table.api.Expressions.$;

/**
 * @Author lzc
 * @Date 2022/11/28 15:09
 */
public class Flink02_SQL_Window {
    public static void main(String[] args) {
        Configuration conf = new Configuration();
        conf.setInteger("rest.port", 2000);
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);
        env.setParallelism(1);
        SingleOutputStreamOperator<WaterSensor> stream = env
            .fromElements(
                new WaterSensor("s1", 1000L, 10),
                new WaterSensor("s1", 2000L, 10),
                new WaterSensor("s2", 3000L, 20),
                new WaterSensor("s1", 4000L, 30),
                new WaterSensor("s1", 5000L, 40),
                new WaterSensor("s1", 8000L, 50)
            )
            .assignTimestampsAndWatermarks(
                WatermarkStrategy
                    .<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(3))
                    .withTimestampAssigner((ws, ts) -> ws.getTs())
        
            );
    
        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
        

        Table table = tEnv.fromDataStream(stream, $("id"), $("ts").rowtime(), $("vc"));
        
        tEnv.createTemporaryView("sensor", table);
        
        /*tEnv.sqlQuery("select " +
                          " id, " +
                          " tumble_start(ts, interval '5' second) stt," +
                          " tumble_end(ts, interval '5' second) edt," +
                          " sum(vc) vc_sum " +
                          "from sensor " +
                          "group by id, tumble(ts, interval '5' second)")
            .execute()
            .print();*/
    
        /*tEnv.sqlQuery("select " +
                          " id, " +
                          " hop_start(ts, interval '2' second,interval '5' second ) stt," +
                          " hop_end(ts, interval '2' second,interval '5' second ) edt," +
                          " sum(vc) vc_sum " +
                          "from sensor " +
                          "group by id, hop(ts, interval '2' second,interval '5' second )")
            .execute()
            .print();*/
    
        /*tEnv.sqlQuery("select " +
                          " id, " +
                          " session_start(ts, interval '2' second ) stt," +
                          " session_end(ts, interval '2' second ) edt," +
                          " sum(vc) vc_sum " +
                          "from sensor " +
                          "group by id, session(ts, interval '2' second )")
            .execute()
            .print();
    */
    
        tEnv.sqlQuery("select " +
                          " session_start(ts, interval '2' second ) stt," +
                          " session_end(ts, interval '2' second ) edt," +
                          " sum(vc) vc_sum " +
                          "from sensor " +
                          "group by session(ts, interval '2' second )")
            .execute()
            .print();
    
    
    
    }
}
/*
分组窗口 grouped window

-------------
over 窗口

 */